Course info
Course Content
1. Planning of experiments: objectives, selection of treatments, choice of experimental units and response variable.
2. General principles: Randomization, replication, control of error.
3. Completely randomized design, randomization and analysis of variance.Estimation of model parameters.Tests of model assumptions.
4. Design for increased precision:
5. Randomised Complete Block Design: randomisation and data analysis, handling missing data.
6. Latin Square design. Graeco-latin square. Blocking efficiency, management and confounding. Random effects model.
7. Treatment comparisons: orthogonal treatment contrasts, orthogonal polynomials for Quantitative treatments, multiple comparison procedures (use and misuse).
8. Introduction to factorial experiments, interpretation of main effects and interaction. Analysis of covariance.
1. Planning of experiments: objectives, selection of treatments, choice of experimental units and response variable.
2. General principles: Randomization, replication, control of error.
3. Completely randomized design, randomization and analysis of variance.Estimation of model parameters.Tests of model assumptions.
4. Design for increased precision:
5. Randomised Complete Block Design: randomisation and data analysis, handling missing data.
6. Latin Square design. Graeco-latin square. Blocking efficiency, management and confounding. Random effects model.
7. Treatment comparisons: orthogonal treatment contrasts, orthogonal polynomials for Quantitative treatments, multiple comparison procedures (use and misuse).
8. Introduction to factorial experiments, interpretation of main effects and interaction. Analysis of covariance.